Thanks to all who replied. I will check all suggestions to see what is the best one in respect of readability. Suggestion of using LSD monitor from Alberto is quite attracting however I am not sure if legal :-)
Thank you again and best regards. Petr [EMAIL PROTECTED] jiho <[EMAIL PROTECTED]> napsal dne 10.01.2008 18:46:12: > > On 2008-January-10 , at 17:41 , Petr PIKAL wrote: > > Thank you > > > > Basically I have a rectangular space (like an aquarium) in which I > > made > > some analysis. > > I can make > > > > image(lat, long, value) for each height but what I dream about is to > > make > > something like scatterplot3d(lat, long, height) with points set > > according > > to a value. > > > > Up to now i can do > > > > scatterplot3d(sloupecn, radan, vrstvan, color=as.numeric(cut(value, > > c(0, > > 100, 400, 1000)))) > > > > which will give you green and red points in upper right corner. I > > started > > to try to make cex.symbols scaled according to value too but up to > > now I > > did not manage to work correctly. > > > > in > > > > scatterplot3d(sloupecn, radan, vrstvan, cex.symbols = value/ > > max(value)+2, > > color=as.numeric(cut(value, c(0, 100, 400, 1000)))) > > > > the biggest points are at other places then I expected. > > so you have measures at x,y,z points basically. and your measures > appear to be on z layers so you can probably make several x,y plots > with point size according to value, stacked on top of each other or > side by side. one liner ggplots: > > A=read.table("petr.txt",header=T) > library("ggplot2") > # stacked > ggplot(A,aes(x=x,y=y)) + geom_point(aes(size=value, colour=factor(z))) > + scale_size(to=c(0,10)) + scale_colour_hue(alpha=0.3) > # side by side > ggplot(A,aes(x=x,y=y)) + geom_point(aes(size=value)) + > scale_size(to=c(0,10)) +facet_grid(z~.) > > if you want 3d to explore your data, rgl (in which you can rotate > plots etc) is probably the best choice > > # 3D with rgl > library("rgl") > open3d() > spheres3d(A$x,A$y,A$z,A$value/1000) > # NB. scaling your value is necessary since the values are so big > compared to the coordinates > axes3d() > > hope that helps. > > petr.txt: > > x y z value > 1 4 1 73.8 > 1 4 9 54.9 > 1 4 17 72 > 1 1 1 96 > 1 1 9 52.1 > 1 1 17 53.3 > 4 4 1 58.4 > 4 4 9 93.5 > 4 4 17 140.2 > 4 1 1 90.3 > 4 1 9 36.5 > 4 1 17 55.1 > 7 4 1 169.1 > 7 4 9 718 > 7 4 17 813 > 7 1 1 73.4 > 7 1 9 46.5 > 7 1 17 205 > > > JiHO > --- > http://jo.irisson.free.fr/ > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.